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Interpreting softmax predictions of sleep stage classification models.pdf (1.81 MB)
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Interpreting softmax predictions of sleep stage classification models

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posted on 06.10.2021, 19:40 by Iris HuijbenIris Huijben, Lieke WA Hermans, Allessandro C Rossi, Sebastiaan Overeem, Merel M van Gilst, Ruud JG van van Sloun
We used a dataset of nocturnal PSG recordings, collected as part of the Healthbed study, which main aim was development of technologies for sleep analyses. The dataset includes one clinical video-PSG recording for each subject, made according to the AASM recommendations in Sleep Medicine Center Kempenhaeghe Heeze, the Netherlands. The study included 96 (60 females) healthy subjects, with an age between 18 and 64. The exclusion criteria were: 1) any diagnosed sleep disorder, 2) a Pittsburgh Sleep Quality Index >= 6, or Insomnia Severity Index > 7, 3) indication of depression or anxiety disorder measured with the Hospital Anxiety and Depression Scale (score > 8), 4) pregnancy, shift work, use of any medication except for birth control medicine, and 5) presence of clinically relevant neurological or psychiatric disorders or other somatic disorders that could influence sleep.

Funding

Rubicon ENW 2018-3 (019.183.EN.014)

European Regional Development Fund, in the context of OPZuid

History

Email Address of Submitting Author

i.a.m.huijben@tue.nl

ORCID of Submitting Author

0000-0002-2629-3898

Submitting Author's Institution

Eindhoven University of Technology

Submitting Author's Country

Netherlands

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